The median age in the United States reached 39.2 years in 2024. This was up from 28.1 in 1970, reflecting a significant aging of the population. Over the coming decades, the number of retirees is projected to rise by about 40 percent by 2050. This demographic shift will present new challenges to American society, reshaping patterns of consumption, work and public policy in the decades ahead. Can an older America balance the books? Social Security spending is set to rise as America grows older. The program, which is the government’s main pillar of support for retirees, already absorbs about five percent of GDP. This could reach six percent by 2035. That trajectory will keep pressure on policymakers to balance promises to pensioners with broader fiscal constraints. A world growing older The aging trend is not unique to the U.S. The global median age reached 30.9 in 2025, up from 20.3 in 1970. By 2050, China, Japan and South Korea are expected to rank among the countries with the largest shares of people aged 65 and over. The change will oblige policymakers to adapt long-standing arrangements to societies where a larger share of people are in later life.

Graph and download economic data for Population ages 65 and above for the United States (SPPOP65UPTOZSUSA) from 1960 to 2024 about 65-years +, population, and USA.

About this dataset

Context

The dataset tabulates the Hillsboro Beach population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Hillsboro Beach across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Hillsboro Beach was 1,975, a 0.46% increase year-by-year from 2022. Previously, in 2022, Hillsboro Beach population was 1,966, an increase of 0.05% compared to a population of 1,965 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Hillsboro Beach decreased by 212. In this period, the peak population was 2,314 in the year 2005. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Hillsboro Beach is shown in this column.
• Year on Year Change: This column displays the change in Hillsboro Beach population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Hillsboro Beach Population by Year. You can refer the same here

Opinion on questions concerning security policy. East-West comparison.

Topics: Satisfaction with the standard of living; attitude to France, Great Britain, Italy, USA, USSR, Red China and West Germany; preferred East-West-orientation of one´s own country and correspondence of national interests with the interests of selected countries; judgement on the American, Soviet and Red Chinese peace efforts; judgement on the foreign policy of the USA and the USSR; trust in the foreign policy capabilities of the USA; the most powerful country in the world, currently and in the future; comparison of the USA with the USSR concerning economic and military strength, nuclear weapons and the areas of culture, science, space research, education as well as the economic prospects for the average citizen; significance of a landing on the moon; Soviet citizen or American as first on the moon; assumed significance of space research for military development; attitude to a united Europe and Great Britain´s joining the Common Market; preferred relation of a united Europe to the United States; fair share of the pleasant things of life; lack of effort or fate as reasons for poverty; general contentment with life; perceived growth rate of the country´s population and preference for population growth; attitude to the growth of the population of the world; preferred measures against over-population; attitude to a birth control program in the developing countries and in one´s own country; present politician idols in Europe and in the rest of the world; attitude to disarmament; trust in the alliance partners; degree of familiarity with the NATO and assessment of its present strength; attitude to a European nuclear force; desired and estimated loyalty of the Americans to the NATO alliance partners; evaluation of the development of the UN; equal voice for all members of the UN; desired distribution of the UN financial burdens; attitude to an acceptance of Red China in the United Nations; knowledge about battles in Vietnam; attitude to the Vietnam war; attitude to the behavior of America, Red China and the Soviet Union in this conflict; attitude to the withdrawal of American troops from Vietnam and preferred attitude of one´s own country in this conflict and in case of a conflict with Red China; opinion on the treatment of colored people in Great Britain, America and the Soviet Union; judgement on the American Federal Government and on the American population regarding the equality of Negros; degree of familiarity with the Chinese nuclear tests; effects of this test on the military strength of Red China; attitude to American private investments in the Federal Republic; the most influential groups and organizations in the country; party preference; religiousness.

Interviewer rating: social class of respondent.

Additionally encoded were: number of contact attempts; date of interview.

In 2023, about 17.7 percent of the American population was 65 years old or over; an increase from the last few years and a figure which is expected to reach 22.8 percent by 2050. This is a significant increase from 1950, when only eight percent of the population was 65 or over. A rapidly aging population In recent years, the aging population of the United States has come into focus as a cause for concern, as the nature of work and retirement is expected to change to keep up. If a population is expected to live longer than the generations before, the economy will have to change as well to fulfill the needs of the citizens. In addition, the birth rate in the U.S. has been falling over the last 20 years, meaning that there are not as many young people to replace the individuals leaving the workforce. The future population It’s not only the American population that is aging -- the global population is, too. By 2025, the median age of the global workforce is expected to be 39.6 years, up from 33.8 years in 1990. Additionally, it is projected that there will be over three million people worldwide aged 100 years and over by 2050.

The United States population is projected to reach 341.7 million in 2025. This continues a steady growth trend observed over the past decade. As fertility rates fall below replacement level, this expansion is increasingly driven by international migration. In 2024, net migration added some 2.8 million people to the national population. The increasing population has significant implications for the country's economy, workforce, and social dynamics. Generational shifts shaping the population Millennials have emerged as the largest generation group in the U.S., estimated to reach over 74 million members in 2024. The group, born between 1981 and 1996, has recently surpassed Baby Boomers in size, and is expected to remain a dominant force in the population for years to come. Meanwhile, Generation X, born between 1965 and 1980, maintains the highest disposable income among generational groups. Diverse demographics and future growth Diversity is a defining feature of the U.S. population. The Hispanic community, now the nation’s second-largest ethnic group, was estimated to reach about 68 million in 2024. Black Americans comprise approximately 47 million people nationwide. Meanwhile, Generation Alpha, America’s youngest named generation, is distinguished as the most racially and ethnically diversity age group. This highlights that diversity will remain a central element of the country's demographic landscape for years to come.

United States Current Population Survey: Population: Female: 25 to 34 Yrs data was reported at 22,365.000 Person th in Jun 2018. This records an increase from the previous number of 22,347.000 Person th for May 2018. United States Current Population Survey: Population: Female: 25 to 34 Yrs data is updated monthly, averaging 19,445.500 Person th from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 22,365.000 Person th in Jun 2018 and a record low of 11,213.000 Person th in Jul 1965. United States Current Population Survey: Population: Female: 25 to 34 Yrs data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G007: Current Population Survey: Population.

This study contains selected electoral and aggregate economic, ecological, and demographic data at the congressional district level for districts of the 87th and 88th Congresses in the period 1961-1965. Data are provided for the number of votes cast for the Democratic and the Republican parties, and the percentage of votes cast for the majority party in the biennial elections for United States Representatives in the period 1952-1962, as well as the total votes cast for the office of president, and the number of votes cast for each party's presidential candidate in the 1952, 1956, and 1960 election. Data are also provided for population and housing characteristics, including total population by household, group quarters, institutions, age group, gender, marital status, race, nationality, and urban and rural residency. Additional demographic variables describe the congressional districts in terms of education, income, employment status and occupation, veteran status, births, deaths, and marriages.

These data examine the effects on total crime rates of changes in the demographic composition of the population and changes in criminality of specific age and race groups. The collection contains estimates from national data of annual age-by-race specific arrest rates and crime rates for murder, robbery, and burglary over the 21-year period 1965-1985. The data address the following questions: (1) Are the crime rates reported by the Uniform Crime Reports (UCR) data series valid indicators of national crime trends? (2) How much of the change between 1965 and 1985 in total crime rates for murder, robbery, and burglary is attributable to changes in the age and race composition of the population, and how much is accounted for by changes in crime rates within age-by-race specific subgroups? (3) What are the effects of age and race on subgroup crime rates for murder, robbery, and burglary? (4) What is the effect of time period on subgroup crime rates for murder, robbery, and burglary? (5) What is the effect of birth cohort, particularly the effect of the very large (baby-boom) cohorts following World War II, on subgroup crime rates for murder, robbery, and burglary? (6) What is the effect of interactions among age, race, time period, and cohort on subgroup crime rates for murder, robbery, and burglary? (7) How do patterns of age-by-race specific crime rates for murder, robbery, and burglary compare for different demographic subgroups? The variables in this study fall into four categories. The first category includes variables that define the race-age cohort of the unit of observation. The values of these variables are directly available from UCR and include year of observation (from 1965-1985), age group, and race. The second category of variables were computed using UCR data pertaining to the first category of variables. These are period, birth cohort of age group in each year, and average cohort size for each single age within each single group. The third category includes variables that describe the annual age-by-race specific arrest rates for the different crime types. These variables were estimated for race, age, group, crime type, and year using data directly available from UCR and population estimates from Census publications. The fourth category includes variables similar to the third group. Data for estimating these variables were derived from available UCR data on the total number of offenses known to the police and total arrests in combination with the age-by-race specific arrest rates for the different crime types.

About this dataset

Context

The dataset tabulates the population of Jefferson County by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Jefferson County. The dataset can be utilized to understand the population distribution of Jefferson County by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Jefferson County. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Jefferson County.

Key observations

Largest age group (population): Male # 70-74 years (1,965) | Female # 70-74 years (2,231). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Jefferson County population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Jefferson County is shown in the following column.
• Population (Female): The female population in the Jefferson County is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Jefferson County for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Jefferson County Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Murray by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Murray. The dataset can be utilized to understand the population distribution of Murray by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Murray. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Murray.

Key observations

Largest age group (population): Male # 25-29 years (2,333) | Female # 25-29 years (1,965). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Murray population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Murray is shown in the following column.
• Population (Female): The female population in the Murray is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Murray for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Murray Population by Gender. You can refer the same here

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q2 2025 about homeownership, housing, rate, and USA.

Home Ownership Rate in the United States decreased to 65 percent in the second quarter of 2025 from 65.10 percent in the first quarter of 2025. This dataset provides the latest reported value for - United States Home Ownership Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

About this dataset

Context

The dataset tabulates the Westmont population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Westmont. The dataset can be utilized to understand the population distribution of Westmont by age. For example, using this dataset, we can identify the largest age group in Westmont.

Key observations

The largest age group in Westmont, IL was for the group of age 30-34 years with a population of 1,965 (7.98%), according to the 2021 American Community Survey. At the same time, the smallest age group in Westmont, IL was the 80-84 years with a population of 475 (1.93%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Westmont is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Westmont total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Westmont Population by Age. You can refer the same here

In 2024, Millennials were the largest generation group in the United States, making up about 21.81 percent of the population. However, Generation Z was not far behind, with Gen Z accounting for around 20.81 percent of the population in that year.

United States - Population Ages 15 to 64 for Saint Vincent and the Grenadines was 66.79020 % of Total in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Ages 15 to 64 for Saint Vincent and the Grenadines reached a record high of 68.18821 in January of 2020 and a record low of 45.23840 in January of 1965. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Ages 15 to 64 for Saint Vincent and the Grenadines - last updated from the United States Federal Reserve on November of 2025.

About this dataset

Context

The dataset tabulates the population of Shakopee by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Shakopee. The dataset can be utilized to understand the population distribution of Shakopee by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Shakopee. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Shakopee.

Key observations

Largest age group (population): Male # 15-19 years (1,972) | Female # 40-44 years (1,965). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Shakopee population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Shakopee is shown in the following column.
• Population (Female): The female population in the Shakopee is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Shakopee for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Shakopee Population by Gender. You can refer the same here

United States Labour Force Participation Rate: Age 16 to 24 data was reported at 54.200 % in Oct 2018. This records an increase from the previous number of 54.000 % for Sep 2018. United States Labour Force Participation Rate: Age 16 to 24 data is updated monthly, averaging 61.950 % from Jan 1948 (Median) to Oct 2018, with 850 observations. The data reached an all-time high of 77.500 % in Jul 1989 and a record low of 50.600 % in Jan 1965. United States Labour Force Participation Rate: Age 16 to 24 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G008: Current Population Survey: Labour Force.

United States - Population Ages 0 to 14 for Saint Vincent and the Grenadines was 21.64672 % of Total in January of 2023, according to the United States Federal Reserve. Historically, United States - Population Ages 0 to 14 for Saint Vincent and the Grenadines reached a record high of 50.49470 in January of 1965 and a record low of 21.64672 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Population Ages 0 to 14 for Saint Vincent and the Grenadines - last updated from the United States Federal Reserve on December of 2025.

United States Labour Force Participation Rate: sa: Male: Age 25 to 34 data was reported at 89.000 % in Jun 2018. This stayed constant from the previous number of 89.000 % for May 2018. United States Labour Force Participation Rate: sa: Male: Age 25 to 34 data is updated monthly, averaging 94.700 % from Jan 1948 (Median) to Jun 2018, with 846 observations. The data reached an all-time high of 98.600 % in May 1965 and a record low of 88.100 % in May 2014. United States Labour Force Participation Rate: sa: Male: Age 25 to 34 data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G011: Current Population Survey: Labour Force: Seasonally Adjusted.